I am research associate in Computational Epidemiology in the Department of Medicine, in School of Public Health at Imperial London College (ICL).
My research focuses on applied statistical methods in epidemiological studies and statistical, bioinformatic and interpretive analysis of analytical data.
Additionally, my current research focuses on the comparison of different feature selection techniques using machine learning techniques and their ability to select important features for predictive models.
Computational Epidemiology, Bioinformatics, Machine Learning, analytical chemistry, simulations, computational biology, metabolomics, wide association studies, data analysis and management, platform design, application of advanced computational and simulation schemes of pharmacokinetic, toxicokinetic and environmental models, semantic web, ontologies.
- Sarigiannis D, Gotti A, Handakas E, Karakitsios, S, Informatics and Data Analytics to Support Exposome-Based Discovery: Part 2-Computational Exposure Biology, DOI: 10.4018/978-1-5225-2607-0.ch007
- Sarigiannis D, Karakistios S, Handakas, Papadaki K, Chapizanis D, Gotti A, Informatics and Data Analytics to Support Exposome-Based Discovery: Part 1 - Assessment of External and Internal Exposure, DOI: 10.4018/978-1-5225-2607-0.ch00
et al., 2021, Cord blood metabolic signatures predictive of childhood overweight and rapid growth, International Journal of Obesity, ISSN:0307-0565
et al., 2021, Neurodevelopmental exposome: The effect of in utero co-exposure to heavy metals and phthalates on child neurodevelopment., Environ Res, Vol:197
et al., 2021, Life cycle assessment of municipal waste management options., Environ Res, Vol:193
et al., 2020, Cohort profile: he East London Health and Care Partnership Data Repository: using novel integrated data to support commissioning and research, Bmj Open, Vol:10, ISSN:2044-6055, Pages:1-10
et al., 2020, Determinants of accelerated metabolomic and epigenetic ageing in a UK cohort, Aging Cell, Vol:19, ISSN:1474-9718, Pages:1-13